Wei Han
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Molecular Biology top 10%
- RNA modifications and cancer
- RNA Research and Splicing
- Circular RNAs in diseases
- Gut microbiota and health
Papers in
-
- RNA Research and Splicing 10
- Circular RNAs in diseases 9
- RNA modifications and cancer 9
- Epigenetics and DNA Methylation 6
-
- Cancer-related molecular mechanisms research 15
- MicroRNA in disease regulation 15
- Cancer, Hypoxia, and Metabolism 7
- Co-authors
- Xiaozhong Peng (24 shared papers)Boqin Qiang (18 shared papers)Jiangang Yuan (14 shared papers)Bin Yin (16 shared papers)Wei Guan (7 shared papers)Xihua Lin (4 shared papers)Fan Wu (7 shared papers)Jiachao Cao (6 shared papers)
- Journals
- Oncotarget (3 papers)Aging (3 papers)PLoS ONE (2 papers)Biochemical and Biophysical Research Communications (2 papers)Cell Death and Disease (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Wei Han
75 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 117
- Cancer Research 432
- Molecular Biology 835
- Biological Psychiatry 28
- Genetics 99
- Aging 14
Countries citing papers authored by Wei Han
This map shows the geographic impact of Wei Han's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Wei Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Han more than expected).
Fields of papers citing papers by Wei Han
This network shows the impact of papers produced by Wei Han. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Wei Han. The network helps show where Wei Han may publish in the future.
Co-authors
The 25 scholars most cited alongside Wei Han, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 80 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 90 | |
| 2 | 2019 | 88 | |
| 3 | 2019 | 86 | |
| 4 | 2014 | 76 | |
| 5 | 2013 | 64 | |
| 6 | 2019 | 58 | |
| 7 | 2020 | 57 | |
| 8 | 2018 | 54 | |
| 9 | 2022 | 54 | |
| 10 | 2019 | 52 | |
| 11 | 2023 | 43 | |
| 12 | 2015 | 39 | |
| 13 | 2015 | 39 | |
| 14 | 2016 | 37 | |
| 15 | 2017 | 33 | |
| 16 | 2019 | 33 | |
| 17 | 2019 | 32 | |
| 18 | 2020 | 31 | |
| 19 | 2019 | 31 | |
| 20 | 2021 | 30 |
About Wei Han
Wei Han is a scholar working on Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine, Genetics and Cellular and Molecular Neuroscience, having authored 80 papers that have together received 1.6k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (15 papers), MicroRNA in disease regulation (15 papers), RNA Research and Splicing (10 papers), Circular RNAs in diseases (9 papers), RNA modifications and cancer (9 papers), Cancer, Hypoxia, and Metabolism (7 papers), Epigenetics and DNA Methylation (6 papers) and Glioma Diagnosis and Treatment (6 papers). The work is most often cited by research in Cancer Research (432 citations), Molecular Biology (835 citations), Biological Psychiatry (28 citations), Genetics (99 citations) and Aging (14 citations). Wei Han has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Xiaozhong Peng, Boqin Qiang, Jiangang Yuan, Bin Yin, Wei Guan, Xihua Lin, Fan Wu, Jiachao Cao, Zhixing Wang and Jizong Zhao. Their work appears in journals such as Oncotarget, Aging, PLoS ONE, Biochemical and Biophysical Research Communications and Cell Death and Disease.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.